Yeongsu Kim created LUCENE-8631:
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Summary: How Nori Tokenizer can deal with Longest-Matching
Key: LUCENE-8631
URL: https://issues.apache.org/jira/browse/LUCENE-8631
Project: Lucene - Core
Issue Type: Improvement
Components: modules/analysis
Reporter: Yeongsu Kim
I think... Nori tokenizer has one issue.
I don’t understand why “Longest-Matching” is NOT working to Nori tokenizer via
config mode (config mode:
[https://www.elastic.co/guide/en/elasticsearch/plugins/6.x/analysis-nori-tokenizer.html).]
Here is an example for explaining what is longest-matching.
Let assume we have `userdict_ko.txt` including only three Korean single-words
such as ‘골드’, ‘브라운’, ‘골드브라운’, and save it to Nori tokenizer. After update, we
can see that it outputs two tokens such as ‘골드’ and ‘브라운’ when the input is
‘골드브라운’. (In English: ‘골드’ means ‘gold’, ‘브라운’ means ‘brown’, and ‘골드브라운’ means
‘goldbrown’)
With this result, we recognize that “Longest-Matching” is NOT working.
If “Longest-Matching” is working, the output must be ‘골드브라운’, which is the
longest matching word in the user dictionary.
Curiously enough, when we add user dictionary via custom mode (custom mode:
[https://github.com/jimczi/nori/blob/master/how-to-custom-dict.asciidoc|https://apac01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fjimczi%2Fnori%2Fblob%2Fmaster%2Fhow-to-custom-dict.asciidoc&data=02%7C01%7Chigh_yeongsu%40wemakeprice.com%7C6953d739414e4da5ad1408d67473a6fe%7C6322d5f522044e9d9ca6d18828a04daf%7C0%7C0%7C636824437418170758&sdata=5iuNvKr8WJCXlCkJQrf5r3BgDVnF5hpG7l%2BQL0Ok7Aw%3D&reserved=0]),
we found the result is ‘골드브라운’, where ‘Longest-Matching’ is applied. We think
that the reason is because learned Mecab engine automatically generates word
costs by its own criteria. We hope this mechanism is also applied to config
mode.
Would you tell me the way to “Longest-Matching” via config mode (not custom) or
give me some hints (e.g. where to modify source codes) to solve this problem?
P.S
Recently, I've mailed to Jim Ferenczi, who is a developer of Nori, and received
his suggestions:
* Add a way to set a score to each new rule (this way you could set up a
negative cost for the compound word that is less than the sum of the two single
words.
* Same as above but the cost is computed from the statistics of the training
(like the custom dictionary does when you recompile entirely).
* Implement longest-match first in the dictionary.
Thanks for your support.
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